AI Product Leader

Blank Metal

. Lead 2–3 concurrent engagements and remain accountable for shipping, adoption, and measurable impact .

Posted 10/23/2026full-timeMinneapolis • Minnesota • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI/GenAI product management and delivery, ensuring production readiness, stakeholder alignment, and effective execution of projects. Proficient in translating ambiguity into actionable plans while leveraging modern GenAI patterns and tools for rapid prototyping and evaluation.

Highest-signal resume keywords

AI/GenAI Product ManagementDelivery ManagementStakeholder LeadershipPrototyping Tools ExperienceEvaluation and Measurement Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DeliveryBacklog ManagementSprint ExecutionUser Story WritingKPI Performance AnalysisModel MonitoringEvaluation HarnessesChange ManagementSecurity ComplianceData Governance

Soft Skills

AdaptabilityEffective CommunicationExpectation ManagementCross-Team CoordinationProblem Solving

Tools & Technologies

V0BoltLovableGenAI PatternsWorkflow Redesign Tools

Industry Keywords

Professional ServicesFixed-Price DeliveryOutcome-Based DeliveryRegulated EnvironmentsUser Feedback

About the role

Key responsibilities & impact

Lead 2–3 concurrent engagements and remain accountable for shipping, adoption, and measurable impact
Own backlogs, prioritization, and sprint execution across engagements
Run standups, planning, retrospectives, and cross-team coordination with engineering, design, and data teams
Write user stories and acceptance criteria and make trade-offs under real constraints
Ensure production readiness across security, compliance, data governance, deployment, and operational runbooks
Drive post-launch iteration using user feedback, telemetry, and KPI performance
Lead client working sessions and check-ins with executive and practitioner stakeholders
Translate ambiguity into clear plans, milestones, and measurable outcomes
Own delivery health, including scope, risks, dependencies, and expectation management
Partner with engagement lead/account teams on renewals, expansions, and executive readouts
Help clients select approaches involving workflow redesign, retrieval, tool use, evaluation strategy, and rollout
Design evaluation and measurement using rubrics, golden datasets, offline/online testing, and monitoring plans
Make architecture-level recommendations with engineers
Stay current on model capabilities and limitations and translate them into product decisions

Requirements

What you’ll need

Shipped software to production and can describe what was built, user impact, and performance
Experience running delivery, including budget, backlog, sprints, trade-offs, and stakeholder alignment
Fluency in modern GenAI patterns, including prompting, RAG basics, evaluation, and iteration
Hands-on experience using tools to build prototypes or workflows
Ability to work effectively in ambiguity and adapt with incomplete information
AI/GenAI Product Manager experience combined with enterprise delivery and executive stakeholder leadership; or equivalent Engagement Manager/Delivery Lead or Senior Product Owner/TPM experience
Experience with AI-powered low-code platforms such as V0, Bolt, or Lovable for rapid prototyping and stakeholder demos
GenAI product work, or adjacent data/ML product work plus clear hands-on GenAI experimentation within the last 12 months
Professional services experience, especially fixed-price or outcome-based delivery, is nice to have
Experience with evaluation harnesses, red-team testing, model monitoring, regulated environments, security/compliance constraints, change management, rollout, enablement, or adoption metrics is nice to have
Must be able to work in a hybrid arrangement and travel to MSP regularly; remote-only candidates unable to travel regularly are not a fit

Benefits

Comp & perks

Competitive base salary with a revenue-based variable comp structure
Comprehensive health coverage
401(k) with match
Flexible time off
Flexible work arrangements
Support for professional development